A visual AI code editor, Layrr streamlines web development by enabling users to modify applications directly through a browser interface. It targets developers seeking to eliminate context-switching by allowing them to click on any visual element and describe desired changes in plain English, with AI handling the source code edits live. The primary benefit is a faster, more intuitive development workflow directly within the browser.

How It Works

Layrr's core innovation lies in its ability to map visual elements clicked in a running application to their precise source code locations. Users interact by selecting an element on screen and providing a natural language instruction for modification. Layrr's AI then interprets this, directly edits the relevant code file, and the development server automatically hot-reloads the application to display the instant result. This approach bypasses manual file searching and selector identification, creating a seamless loop between visual feedback and code manipulation.

Quick Start & Requirements

• Access: Sign up at layrr.dev.
• Usage: Import a GitHub repository (Layrr clones, spins up a dev server, and opens the editor) or start from a template (generates a Next.js app for visual iteration).
• CLI: Available as an open-source CLI: npx layrr --port 3000. Refer to CLI docs for setup.
• Framework Support: Compatible with React, Next.js, Vue, Nuxt, Svelte, SvelteKit, Solid, Astro, and Vite.
• Links: Website, Get Started, How It Works, CLI Docs.

Highlighted Details

• Visual Editing: Point-and-click interface for element selection, coupled with natural language prompts for AI-driven code changes.
• Framework Agnostic: Broad compatibility across major modern JavaScript frameworks and build tools.
• Integrated Git Workflow: AI-generated edits are automatically committed with a [layrr] prefix, providing a clear history and easy reversion capabilities.
• Multi-Element Selection: Supports applying a single instruction to multiple selected elements simultaneously via Shift+click.
• Live Previews & Sharing: Enables sharing password-protected live previews of the application state.

Maintenance & Community

The project is noted as being "Built by Kiran Johns." Specific community channels (like Discord/Slack) or detailed contributor information are not detailed in the provided README.

Licensing & Compatibility

Licensed under the MIT license. This typically permits commercial use and integration into closed-source projects without significant restrictions.

Limitations & Caveats

The README does not detail specific limitations, known bugs, or alpha/beta status. The effectiveness of AI-driven code modification is inherently dependent on the complexity of the requested changes and the AI's interpretation capabilities.